1 code implementation • 7 Jan 2024 • Yichi Zhang, Zhenrong Shen, Rushi Jiao
Due to the inherent flexibility of prompting, foundation models have emerged as the predominant force in the fields of natural language processing and computer vision.
no code implementations • 5 May 2023 • Yichi Zhang, Rushi Jiao
Due to the flexibility of prompting, foundation models have become the dominant force in the domains of natural language processing and image generation.
1 code implementation • 28 Jul 2022 • Rushi Jiao, Yichi Zhang, Le Ding, Rong Cai, Jicong Zhang
Medical image segmentation is a fundamental and critical step in many image-guided clinical approaches.
no code implementations • 5 Dec 2021 • Yichi Zhang, Rushi Jiao, Qingcheng Liao, Dongyang Li, Jicong Zhang
In this paper, we propose a novel uncertainty-guided mutual consistency learning framework to effectively exploit unlabeled data by integrating intra-task consistency learning from up-to-date predictions for self-ensembling and cross-task consistency learning from task-level regularization to exploit geometric shape information.